Process Overview:
Partnering with stakeholders across the organization to oversee the development and use of Fraud Authorization and claim data systems and discover ways to organize, store and analyze data / metadata for fraud life cycle as efficiently as possible. Identify, assess and communicate potential data quality issues in the way data is collected, stored and used.
Responsibilities
Some tasks that this role may be responsible for include (but are not limited to):
- Develop and maintain centralized reporting in collaboration with Client protection and line of business partners
- Develop Enterprise executive dashboards and reporting
- Support data management and setup of Enterprise wide data marts and table views
- Conduct analytics to identify business opportunities and recommendations
- Presenting reporting results at various forums internal and external to FCSO
- Support adhoc reports across the FCSO Enterprise
- Support reporting and analytics for Consumer, Non-Consumer, and Billing Dispute products / channels
- Work with cross functional project teams to bring the teams to consensus on definitions and metrics
- Support setup of infrastructure for centralized repositories and data definitions
- Conduct variance analysis and reporting
- Gather data from various sources and areas
- Review data for completeness and accuracy
Requirements:
Education:
- Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a reputed institute
- Technical certifications in SAS, SQL and Tableau preferred
Experience Range:
- 3-8 years of relevant experience using SAS, SQL data analytics
- U.S financial services experience preferable
Foundational Skills:
- The candidate must have intermediate to advanced knowledge of SAS and SQL.
- Working experience on Tableau or MicroStrategy.
- Excel and other applications to support large data aggregation and management.
- Advanced data analytics in a big data environment within a risk & fraud function is ideal
- Experience in reporting and automation tools
- Data and reporting experience and attention to detail
- Ability to create trend reports and discuss anomalies with cross functional teams
- Ability to present the data and communication skills
- Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy)
- Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
- Effective multi-tasker, able to manage multiple files
Desired Skills:
Strong experience on Hadoop (Hive, Impala) Tableau and MicroStrategy experience Familiarity with other programming languages such as Python, Spark, PySpark and R will be preferred.
Work Timings: 11:30 AM to 8:30 PM, 12:30 PM to 9:30 PM
Mumbai / Hyderabad / Gift